• D. Rajendra Prasad

Wireless Sensor Networks (WSNs) are collection of nodes with each having its processor, sensor, transmitter and receiver. Sensors are low cost devices performing a specific sensing task. Sensors are small, with limited processing and computing resources used throughout an area to monitor a specific event. Data aggregation through efficient network organization helps nodes to be partitioned into small groups called clusters. This grouping of sensor nodes into clusters is called clustering. Every cluster has a leader, referred to as Cluster-Head (CH). Clustering based routing methods prolong WSNs life. Self-organization and energy efficiency are two characteristics of a large, deployed sensor network which control operation and network life. This paper presents a Hybrid Multi Objective Bee swam Optimization with Hill Climbing for efficient clustering.

Wireless Sensor Network (WSN), Clustering, Low Energy Adaptive Clustering Protocol (LEACH), Bee Swarm Optimization (BSO), Hill Climbing.

"An Energy Efficient Clustering In Multi-Hop Wireless Sensor Network with Multi-Objective Optimization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 10, page no.626-641, October-2018, Available :http://www.jetir.org/papers/JETIR1810B45.pdf

"An Energy Efficient Clustering In Multi-Hop Wireless Sensor Network with Multi-Objective Optimization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 10, page no. pp626-641, October-2018, Available at : http://www.jetir.org/papers/JETIR1810B45.pdf